Using diffusion imaging to study human connectional anatomy
- PMID: 19400718
- DOI: 10.1146/annurev.neuro.051508.135735
Using diffusion imaging to study human connectional anatomy
Abstract
Diffusion imaging can be used to estimate the routes taken by fiber pathways connecting different regions of the living brain. This approach has already supplied novel insights into in vivo human brain anatomy. For example, by detecting where connection patterns change, one can define anatomical borders between cortical regions or subcortical nuclei in the living human brain for the first time. Because diffusion tractography is a relatively new technique, however, it is important to assess its validity critically. We discuss the degree to which diffusion tractography meets the requirements of a technique to assess structural connectivity and how its results compare to those from the gold-standard tract tracing methods in nonhuman animals. We conclude that although tractography offers novel opportunities it also raises significant challenges to be addressed by further validation studies to define precisely the limitations and scope of this exciting new technique.
Similar articles
-
Mapping brain anatomical connectivity using white matter tractography.NMR Biomed. 2010 Aug;23(7):821-35. doi: 10.1002/nbm.1579. NMR Biomed. 2010. PMID: 20886567 Free PMC article. Review.
-
Validation of in vitro probabilistic tractography.Neuroimage. 2007 Oct 1;37(4):1267-77. doi: 10.1016/j.neuroimage.2007.06.022. Epub 2007 Jul 10. Neuroimage. 2007. PMID: 17706434
-
White matter tractography by means of Turboprop diffusion tensor imaging.Ann N Y Acad Sci. 2005 Dec;1064:78-87. doi: 10.1196/annals.1340.014. Ann N Y Acad Sci. 2005. PMID: 16394149
-
Estimating the confidence level of white matter connections obtained with MRI tractography.PLoS One. 2008;3(12):e4006. doi: 10.1371/journal.pone.0004006. Epub 2008 Dec 23. PLoS One. 2008. PMID: 19104666 Free PMC article.
-
The nonhuman primate neuroimaging and neuroanatomy project.Neuroimage. 2021 Apr 1;229:117726. doi: 10.1016/j.neuroimage.2021.117726. Epub 2021 Jan 20. Neuroimage. 2021. PMID: 33484849 Free PMC article. Review.
Cited by
-
Prediction of Alzheimer's disease using individual structural connectivity networks.Neurobiol Aging. 2012 Dec;33(12):2756-65. doi: 10.1016/j.neurobiolaging.2012.01.017. Epub 2012 Mar 8. Neurobiol Aging. 2012. PMID: 22405045 Free PMC article.
-
The distinct disrupted plasticity in structural and functional network in mild stroke with basal ganglia region infarcts.Brain Imaging Behav. 2022 Oct;16(5):2199-2219. doi: 10.1007/s11682-022-00689-8. Epub 2022 Jun 4. Brain Imaging Behav. 2022. PMID: 35665464
-
Direct structural connections between voice- and face-recognition areas.J Neurosci. 2011 Sep 7;31(36):12906-15. doi: 10.1523/JNEUROSCI.2091-11.2011. J Neurosci. 2011. PMID: 21900569 Free PMC article.
-
The role of long-range connectivity for the characterization of the functional-anatomical organization of the cortex.Front Syst Neurosci. 2011 Jul 7;5:58. doi: 10.3389/fnsys.2011.00058. eCollection 2011. Front Syst Neurosci. 2011. PMID: 21779237 Free PMC article.
-
A longitudinal diffusion tensor imaging study assessing white matter fiber tracts after sports-related concussion.J Neurotrauma. 2014 Nov 15;31(22):1860-71. doi: 10.1089/neu.2014.3368. Epub 2014 Sep 23. J Neurotrauma. 2014. PMID: 24786666 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources